TWCOM

TWCOM facilitates the inference of cell-cell communication from spatially resolved transcriptomics (SRT) data using the Tweedie regression model. This model boasts a high level of flexibility, allowing for efficient fitting for both single-cell resolution SRT data and spot-based SRT data.

Installation

TWCOM can be easily installed from Github using devtools:

devtools::install_github("dongyuanwu/TWCOM")

Tutorials

• Inference of Cell-cell Communication for Ligand-receptor Pairs using TWCOM

• Inference of Cell-cell Communication for Signaling Pathways using TWCOM

• Cell-cell Communication for Signaling Pathways from Spatially Resolved Transcriptomics Data Realted to Alzheimer’s Disease

Reference

Wu, D., Gaskins, J. T., Sekula, M., & Datta, S. (2023). Inferring cell–cell communications from spatially resolved transcriptomics data using a Bayesian Tweedie model. Genes, 14(7), 1368.

Wu, D., & Datta, S. (2024). TWCOM: an R package for inference of cell–cell communication on spatially resolved transcriptomics data. Under review.

Bugs, Questions, or Comments

If you have any bugs, questions, comments, or suggestions, please file an issue on GitHub.